scholarly journals COVID‐19 detection with severity level analysis using the deep features, and wrapper‐based selection of ranked features

2021 ◽  
Author(s):  
Coşku Öksüz ◽  
Oğuzhan Urhan ◽  
Mehmet Kemal Güllü
Keyword(s):  
Severity Level ◽  
Level Analysis ◽  
Selection Of

scholarly journals Systems morphodynamics: understanding the development of tissue hardware

2017 ◽  
Vol 372 (1720) ◽  
pp. 20160505 ◽  
Author(s):  
Yanlan Mao ◽  
Jeremy B. A. Green
Keyword(s):  
Systems Biology ◽  
Multi Level ◽  
Level Analysis ◽  
Selection Of

Systems morphodynamics describes a multi-level analysis of mechanical morphogenesis that draws on new microscopy and computational technologies and embraces a systems biology-informed scope. We present a selection of articles that illustrate and explain this rapidly progressing field. This article is part of the themed issue ‘Systems morphodynamics: understanding the development of tissue hardware’.

scholarly journals Two-level Evaluation of Public Transport Performances

2012 ◽  
Vol 23 (5) ◽  
pp. 329-339
Author(s):  
Marko Matulin ◽  
Štefica Mrvelj ◽  
Niko Jelušić
Keyword(s):  
Public Transport ◽  
Macro Level ◽  
Evaluation Approach ◽  
Quantitative Performance ◽  
Key Words Evaluation ◽  
Analysis Quality ◽  
Level Analysis ◽  
Level Of Analysis ◽  
Selection Of

The focus of this paper is evaluation of public transport (PT) performances. For this purpose the focus is on quantitative performance attributes of tramway network and two levels of the evaluation analysis are defined – the micro and macro level analysis. The two-level evaluation analysis can be used to solve the problem of ambiguity in conclusions about PT performances. The ambiguity appears when the set of collected data is incomplete, misinterpreted, partially analyzed or when some background impacts are neglected. For each level of analysis a set of performance indicators is defined and their mathematical formulations are presented. The selection of indicators is based on the analysis of expected events on the PT vehicle’s itinerary. The applied data collection methodology, necessary for testing of proposed evaluation approach, is described and the results are presented and discussed. It has been found that for a specific case the two-level evaluation analysis can be important for the control of PT performances and transport planning. KEY WORDS: evaluation, public transport performance, micro and macro level analysis, quality of service

scholarly journals Dynamics of task-related electrophysiological networks: a benchmarking study

2020 ◽  
Author(s):  
Judie Tabbal ◽  
Aya Kabbara ◽  
Mohamad Khalil ◽  
Pascal Benquet ◽  
Mahmoud Hassan
Keyword(s):  
Evaluation Studies ◽  
Brain Networks ◽  
Clinical Neuroscience ◽  
Functional Brain ◽  
Rapid Changes ◽  
Functional Brain Networks ◽  
High Order Statistics ◽  
The Brain ◽  
Level Analysis ◽  
Selection Of

AbstractMotor, sensory and cognitive functions rely on dynamic reshaping of functional brain networks. Tracking these rapid changes is crucial to understand information processing in the brain, but challenging due to the random selection of methods and the limited evaluation studies. Using Magnetoencephalography (MEG) combined with Source Separation (SS) methods, we present an integrated framework to track fast dynamics of electrophysiological brain networks. We evaluate nine SS methods applied to three independent MEG databases (N=95) during motor and memory tasks. We report differences between these methods at the group and subject level. We show that the independent component analysis (ICA)-based methods and especially those exploring high order statistics are the most efficient, in terms of spatiotemporal accuracy and subject-level analysis. We seek to help researchers in choosing objectively the appropriate methodology when tracking fast reconfiguration of functional brain networks, due to its enormous benefits in cognitive and clinical neuroscience.

scholarly journals CVCDAP: an integrated platform for molecular and clinical analysis of cancer virtual cohorts

2020 ◽  
Vol 48 (W1) ◽  
pp. W463-W471
Author(s):  
Xiaoqing Guan ◽  
Meng Cai ◽  
Yang Du ◽  
Ence Yang ◽  
Jiafu Ji ◽  
...  
Keyword(s):  
Large Scale ◽  
Molecular Mechanisms ◽  
Clinical Analysis ◽  
Therapeutic Approaches ◽  
Web Based ◽  
Related Data ◽  
Public Datasets ◽  
Level Analysis ◽  
Selection Of Patients ◽  
Selection Of

Abstract Recent large-scale multi-omics studies resulted in quick accumulation of an overwhelming amount of cancer-related data, which provides an unprecedented resource to interrogate diverse questions. While certain existing web servers are valuable and widely used, analysis and visualization functions with regard to re-investigation of these data at cohort level are not adequately addressed. Here, we present CVCDAP, a web-based platform to deliver an interactive and customizable toolbox off the shelf for cohort-level analysis of TCGA and CPTAC public datasets, as well as user uploaded datasets. CVCDAP allows flexible selection of patients sharing common molecular and/or clinical characteristics across multiple studies as a virtual cohort, and provides dozens of built-in customizable tools for seamless genomic, transcriptomic, proteomic and clinical analysis of a single virtual cohort, as well as, to compare two virtual cohorts with relevance. The flexibility and analytic competence of CVCDAP empower experimental and clinical researchers to identify new molecular mechanisms and develop potential therapeutic approaches, by building and analyzing virtual cohorts for their subject of interests. We demonstrate that CVCDAP can conveniently reproduce published findings and reveal novel insights by two applications. The CVCDAP web server is freely available at https://omics.bjcancer.org/cvcdap/.

scholarly journals Analysis Of Aspects Of Messages Hiding In Text Environments

2015 ◽  
Vol 34 (1) ◽  
pp. 5-16
Author(s):  
Olesya Afanasyeva
Keyword(s):  
Electronic Communication ◽  
Semantic Analysis ◽  
Quality Level ◽  
Quantitative Level ◽  
Text Fragment ◽  
Semantic Value ◽  
Level Analysis ◽  
Semantic Parameters ◽  
Selection Of

Abstract In the work are researched problems, which arise during hiding of messages in text environments, being transmitted by electronic communication channels and the Internet. The analysis of selection of places in text environment (TE), which can be replaced by word from the message is performed. Selection and replacement of words in the text environment is implemented basing on semantic analysis of text fragment, consisting of the inserted word, and its environment in TE. For implementation of such analysis is used concept of semantic parameters of words coordination and semantic value of separate word. Are used well-known methods of determination of values of these parameters. This allows moving from quality level to quantitative level analysis of text fragments semantics during their modification by word substitution. Invisibility of embedded messages is ensured by providing preset values of the semantic cooperation parameter deviations.

scholarly journals Use of an EHR to inform an administrative data algorithm to categorize inpatient COVID-19 severity

2021 ◽  
Author(s):  
Elizabeth M Garry ◽  
Andrew R Weckstein ◽  
Kenneth Quinto ◽  
Tamar Lasky ◽  
Aloka Chakravarty ◽  
...  
Keyword(s):  
Administrative Data ◽  
Invasive Mechanical Ventilation ◽  
Supplemental Oxygen ◽  
Real World Data ◽  
Severity Level ◽  
Differential Misclassification ◽  
Initial Procedure ◽  
The Impact ◽  
Selection Of

Importance: Algorithms for classification of inpatient COVID-19 severity are necessary for confounding control in studies using real-world data (RWD). Objective: To explore use of electronic health record (EHR) data to inform an administrative data algorithm for classification of supplemental oxygen or noninvasive ventilation (O2/NIV) and invasive mechanical ventilation (IMV) to assess disease severity in hospitalized COVID-19 patients. Design: In this retrospective cohort study, we developed an initial procedure-based algorithm to identify O2/NIV, IMV, and NEITHER O2/NIV nor IMV in two inpatient RWD sources. We then expanded the algorithm to explore the impact of adding diagnoses indicative of clinical need for O2/NIV (hypoxia, hypoxemia) or IMV (acute respiratory distress syndrome) and O2-related patient vitals available in the EHR. Observed changes in severity categorization were used to augment the administrative algorithm. Setting: Optum de-identified COVID-19 EHR data and HealthVerity claims and chargemaster data (March - August 2020). Participants: Among patients hospitalized with COVID-19 in each RWD source, our motivating example selected dexamethasone (DEX+) initiators and a random selection of patients who were non-initiators of a corticosteroid of interest (CSI-) matched on date of DEX initiation, age, sex, baseline comorbidity score, days since admission, and COVID-19 severity level (NEITHER, O2/NIV, IMV) on treatment index. Main Outcome and Measures: Inpatient COVID-19 severity was defined using the algorithms developed to classify respiratory support requirements among hospitalized COVID-19 patients (NEITHER, O2/NIV, IMV). Measures were reported as the treatment-specific distributions of patients in each severity level, and as observed changes in severity categorization between the initial procedure-based and expanded algorithms. Results: In the administrative data cohort with 5,524 DEX+ and CSI- patient pairs matched using the initial procedure-based algorithm, 30% were categorized as O2/NIV, 5% as IMV, and 65% as NEITHER. Among patients assigned NEITHER via the initial algorithm, use of an expanded algorithm informed by the EHR-based algorithm shifted 54% DEX+ and 28% CSI- to O2/NIV, and 2% DEX+ and 1% CSI- to IMV. Among patients initially assigned O2/NIV, 7% DEX+ and 3% CSI- shifted to IMV. Conclusions and Relevance: Application of learnings from an EHR-based exploration to our administrative algorithm minimized treatment-differential misclassification of COVID-19 severity.

Analytic Network Process Decision-Making to Downloadable Content System

2013 ◽  
Vol 284-287 ◽  
pp. 3352-3356
Author(s):  
Hong Zhou Chen ◽  
Jing Fu Huang
Keyword(s):  
Current Trend ◽  
Analytic Network Process ◽  
Decision Support Tools ◽  
Competitive Edge ◽  
Support Tools ◽  
Network Process ◽  
Content System ◽  
Systems Effectiveness ◽  
Level Analysis ◽  
Selection Of

The worsening impact of piracy in recent years, downloadable content system is the current trend to against Piracy. The main purpose of the study download content elements, can effectively provide attractive of content, the downloadable content to enter a more competitive edge. Its elements of the downloadable content will be different. This study places the focus on the use of network-level analysis (ANP) decision support tools, different elements of the downloadable content systems effectiveness in the fight against piracy analysis of case studies. The combination of network-level analysis-based approach, this paper can provide game publishers with the method of downloadable content production, realistic, and accurately in the selection of downloadable content system.

Cognitive gadgets and cognitive priors

2019 ◽  
Vol 42 ◽  
Author(s):  
Gian Domenico Iannetti ◽  
Giorgio Vallortigara
Keyword(s):  
Cognitive Neuroscience ◽  
Selection Of

Abstract Some of the foundations of Heyes’ radical reasoning seem to be based on a fractional selection of available evidence. Using an ethological perspective, we argue against Heyes’ rapid dismissal of innate cognitive instincts. Heyes’ use of fMRI studies of literacy to claim that culture assembles pieces of mental technology seems an example of incorrect reverse inferences and overlap theories pervasive in cognitive neuroscience.

Note on Selection of Coordinate Systems for Geodynamics

1975 ◽  
Vol 26 ◽  
pp. 395-407
Author(s):  
S. Henriksen
Keyword(s):  
Sea Level ◽  
The Other ◽  
Coordinate Systems ◽  
Mean Sea Level ◽  
The Earth ◽  
The One ◽  
Static Systems ◽  
Selection Of

The first question to be answered, in seeking coordinate systems for geodynamics, is: what is geodynamics? The answer is, of course, that geodynamics is that part of geophysics which is concerned with movements of the Earth, as opposed to geostatics which is the physics of the stationary Earth. But as far as we know, there is no stationary Earth – epur sic monere. So geodynamics is actually coextensive with geophysics, and coordinate systems suitable for the one should be suitable for the other. At the present time, there are not many coordinate systems, if any, that can be identified with a static Earth. Certainly the only coordinate of aeronomic (atmospheric) interest is the height, and this is usually either as geodynamic height or as pressure. In oceanology, the most important coordinate is depth, and this, like heights in the atmosphere, is expressed as metric depth from mean sea level, as geodynamic depth, or as pressure. Only for the earth do we find “static” systems in use, ana even here there is real question as to whether the systems are dynamic or static. So it would seem that our answer to the question, of what kind, of coordinate systems are we seeking, must be that we are looking for the same systems as are used in geophysics, and these systems are dynamic in nature already – that is, their definition involvestime.

Measurements of the Cape Astrometric Survey of the Southern Hemisphere

1978 ◽  
Vol 48 ◽  
pp. 515-521
Author(s):  
W. Nicholson
Keyword(s):  
Southern Hemisphere ◽  
Automatic Measuring ◽  
Measuring Machine ◽  
Final Selection ◽  
Selection Of

SummaryA routine has been developed for the processing of the 5820 plates of the survey. The plates are measured on the automatic measuring machine, GALAXY, and the measures are subsequently processed by computer, to edit and then refer them to the SAO catalogue. A start has been made on measuring the plates, but the final selection of stars to be made is still a matter for discussion.

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